Article Off-The-Shelf Training 
KitelyTech
FEBRUARY 2, 2021
When it comes to e-learning software, companies generally have two choices: off-the-shelf e-learning software and custom e-learning software. In this article, learn more about the differences between off-the-shelf and custom e-learning software so you can figure out which one is best for your company.
Let's Grow Leaders
OCTOBER 21, 2023
When you delegated the tasks out among the team the timing was off and important parts of the project weren’t done when they needed to be. This is no cookie-cutter, stale-off-the-shelf program. AskingForaFriend This fantastic question came in during one of our recent leadership development programs.
AWS Machine Learning - AI
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SageMaker Pipelines You can use SageMaker Pipelines to define and orchestrate the various steps involved in the ML lifecycle, such as data preprocessing, model training, evaluation, and deployment. Generative AI models are constantly evolving, with new versions and updates released frequently.
Xebia
JULY 4, 2022
If you’re contemplating getting started with IoT or need a nudge in the right direction, this article will highlight some great options to get you started. These devices live at “the edge”, a collective term for anywhere from a factory, train tracks, or someone’s home. There needs to be a robust messaging system in place.
Martin Fowler
JULY 25, 2023
But for many products there is no single off-the-shelf platform to use, a team is going to have to find and integrate several platforms. But for many products there is no single off-the-shelf platform to use, a team is going to have to find and integrate several platforms. But what makes an effective digital platform?
Erik Bernhardsson
DECEMBER 15, 2020
It's a popular attitude among developers to rant about our tools and how broken things are. Maybe I'm an optimistic person, because my viewpoint is the complete opposite! I used to write custom mapreduce jobs to pull basic stats, then wait for hours for those jobs to finish. I once ran a web shop and spent a week implementing credit card payments.
O'Reilly Media - Data
MARCH 22, 2018
There is also a trade off in balancing a model’s interpretability and its performance. A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater. There is often a need to verify the reasoning of such ML systems to hold algorithms accountable for the decisions predicted.
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